Code Kata is defined as an exercise in programming which helps hone our skill through practice and repetition. In machine learning programming, Code Kata for implementing ML algorithms is very important, becuase we can realize the details ( such as Data Sampling, Weight initialization, various training strategy ...) while implementing the algorithm.
I implement various algorithms using in recommendation system and organize them into scripts. I'll update one script each week.
If you have a good topic, feel free to leave it on the issue! I will try to implement it as much as possible!
Do not worry! I provide the environment written as a docker image.
# Run it From the root project directory
docker-compose up -d
Goals
Implement Apriori function to extract frequent itemsets
Implement function to generate association rules from frequent itemsets
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